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S-Lab, Nanyang Technological University, Singapore
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ClothTransformer achieves state-of-the-art cloth simulation by learning a unified latent space, allowing a single model to handle diverse scenarios and mesh resolutions with significantly improved accuracy and collision handling.
Achieve 2.6x faster autoregressive world model inference without retraining by caching and selectively reusing block-level residuals across generation chunks.